• I moved RAIN’s clinical HIV Case Management platform from a brittle monolith to a Next.js 14 and .NET 8 architecture.

• I replaced our unreliable legacy data ingestion scripts with a robust Java and Spring Boot microservice that handles the heavy lifting of parsing and validating 100,000+ clinical records daily for our CDC exports.

• To speed up feature delivery, I established organization-wide "AI Catalyst" playbooks including repository-level .cursorrules and AI-assisted PR review heuristics, boosting individual throughput by 40% for the entire engineering team.

• I architected the clinical integration layer using SMART on FHIR standards and AWS PrivateLink to ensure that Protected Health Information (PHI) never crossed the public internet during hospital EHR syncs.

• During a peak STI testing surge, I optimized the Mobile Testing Unit app to handle a 4x traffic spike with zero downtime by implementing Redis caching and a custom circuit breaker pattern in our microservices.

• Developed authenticated admin portals in TypeScript and Node.js with fine-grained RBAC enforced at both API and UI layers, then hardened those controls to ensure only authorized providers could access PHI.

• I identified a persistent memory leak in our messaging service that was spiking execution costs, refactoring the Node.js implementation dropped our monthly AWS Lambda bill by 22%.

• I rebuilt our CI/CD in GitHub Actions and automated the dev-environment setup via Terraform, which cut developer onboarding time from 3 days to under 4 hours.

• I developed the Python and SQL ETL pipelines for CDC reporting, replacing a manual workflow that was eating 15 hours a week from the operations team.

• I mentored 5 junior engineers on Clean Architecture and SOLID principles. 3 of them were promoted to Senior roles while I was here.

• I was promoted to Senior Software Engineer within 18 months because of my leadership in legacy modernization.

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• I architected a custom Power BI reporting suite that integrated directly with the iLEVEL API to track over $5B in Assets Under Management (AUM) across 30+ portfolio companies.

• I maintained legacy Angular dashboards for private equity stakeholders while incrementally migrating core modules to React and Next.js, improving platform load speed by 35%.

• Investors used to wait 24 hours for portfolio snapshots, so I implemented a Kafka-based event pipeline that reduced turnaround time to under 60 seconds.

• Collaborated with Investment Partners to translate complex private equity requirements into high performance technical specs for the internal LP Portal.

• I designed the auth and RBAC systems for our Limited Partner (LP) portal using .NET Core and Node.js, ensuring 100% compliance with high-stakes financial governance audits.

• I found a massive bottleneck in the SQL Server schema that was dragging down performance; after I refactored the queries and tuned the indexes, the platform was 40% faster.

• Designed high-integrity ETL workflows using SQL Server and MySQL to validate accuracy for portfolio snapshots used in multi-million dollar investment pivots.

• I re-engineered broken data feeds from SpendHQ and Momentive using resilient error-handling logic in Python, bringing our daily platform uptime to 99.9%.

• I was the first person on the team to champion the adoption of GitHub Copilot to accelerate the creation of complex financial data utilities and internal reporting tools.

• I set up our first automated testing and deployment workflows using GitHub Actions, which cut the time we spent on manual QA every Friday in half.

Moving, Deliveries, Labor and more

• During a client onboarding, I performed a proactive audit of their cloud spend and identified $40k/month in "leakage" from orphaned Azure resources. I built a React-based TCO tool to prevent recurrence.

• I engineered a cloud-native SaaS platform for scoring 600+ IT vendors using a React frontend and a PHP/Laravel backend gateway that handled vendor data ingestion.

• I incrementally replaced legacy Angular components with React micro-services, which reduced our production frontend bundle size by 35% and improved UX metrics.

• I managed our AWS deployments using Docker and Kubernetes to maintain 99.9% availability for enterprise clients.

• Standardized deployment environments through Terraform, cutting environment setup time for new clients from 3 days to 4 hours.

• I integrated the Salesforce and ServiceNow APIs to automate client data ingestion, saving the operations team an estimated 30+ labor hours every week.

• I set up Datadog monitoring and centralized logging to track system health, which reduced our incident resolution time by 40%.

• I partnered with IT leaders to design infrastructure-centric dashboards that improved strategic decisionmaking and vendor ROI analysis.

• I conducted deep system analysis to scale platform capabilities, reducing end-user latency by 30% for high-volume vendor evaluation requests.